{"id":"https://openalex.org/W2079748020","doi":"https://doi.org/10.1108/ijwis-04-2013-0011","title":"Twitter data collecting tool with rule\u2010based filtering and analysis module","display_name":"Twitter data collecting tool with rule\u2010based filtering and analysis module","publication_year":2013,"publication_date":"2013-08-14","ids":{"openalex":"https://openalex.org/W2079748020","doi":"https://doi.org/10.1108/ijwis-04-2013-0011","mag":"2079748020"},"language":"en","primary_location":{"id":"doi:10.1108/ijwis-04-2013-0011","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-04-2013-0011","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022906181","display_name":"Changhyun Byun","orcid":null},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Changhyun Byun","raw_affiliation_strings":["Computers and Information Sciences, Towson University, Towson, Maryland, USA","(Computers and Information Sciences, Towson University, Towson, Maryland, USA)"],"affiliations":[{"raw_affiliation_string":"Computers and Information Sciences, Towson University, Towson, Maryland, USA","institution_ids":["https://openalex.org/I4322298"]},{"raw_affiliation_string":"(Computers and Information Sciences, Towson University, Towson, Maryland, USA)","institution_ids":["https://openalex.org/I4322298"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057503998","display_name":"Hyeoncheol Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hyeoncheol Lee","raw_affiliation_strings":["Computers and Information Sciences, Towson University, Towson, Maryland, USA"],"affiliations":[{"raw_affiliation_string":"Computers and Information Sciences, Towson University, Towson, Maryland, USA","institution_ids":["https://openalex.org/I4322298"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060556922","display_name":"Yanggon Kim","orcid":"https://orcid.org/0000-0003-1860-6601"},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanggon Kim","raw_affiliation_strings":["Computers and Information Sciences, Towson University, Towson, Maryland, USA"],"affiliations":[{"raw_affiliation_string":"Computers and Information Sciences, Towson University, Towson, Maryland, USA","institution_ids":["https://openalex.org/I4322298"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031811837","display_name":"Kwangmi Ko Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kwangmi Ko Kim","raw_affiliation_strings":["Computers and Information Sciences, Towson University, Towson, Maryland, USA"],"affiliations":[{"raw_affiliation_string":"Computers and Information Sciences, Towson University, Towson, Maryland, USA","institution_ids":["https://openalex.org/I4322298"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5022906181"],"corresponding_institution_ids":["https://openalex.org/I4322298"],"apc_list":null,"apc_paid":null,"fwci":0.7483,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72793152,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":"3","first_page":"184","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8645183444023132},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5695351362228394},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5012607574462891},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.49735358357429504},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.49060001969337463},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4720410108566284},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46939530968666077},{"id":"https://openalex.org/keywords/marketing-buzz","display_name":"Marketing buzz","score":0.43423497676849365},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.42220380902290344},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.36398351192474365},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3410070538520813},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10992607474327087}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8645183444023132},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5695351362228394},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5012607574462891},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.49735358357429504},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.49060001969337463},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4720410108566284},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46939530968666077},{"id":"https://openalex.org/C113993141","wikidata":"https://www.wikidata.org/wiki/Q906759","display_name":"Marketing buzz","level":2,"score":0.43423497676849365},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.42220380902290344},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.36398351192474365},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3410070538520813},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10992607474327087},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ijwis-04-2013-0011","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-04-2013-0011","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1552297528","https://openalex.org/W1630959083","https://openalex.org/W1684832230","https://openalex.org/W1982972748","https://openalex.org/W1987512622","https://openalex.org/W2013198684","https://openalex.org/W2030559659","https://openalex.org/W2042123098","https://openalex.org/W2056021151","https://openalex.org/W2101196063","https://openalex.org/W2101897862","https://openalex.org/W2116136846","https://openalex.org/W2116502002","https://openalex.org/W2119915991","https://openalex.org/W2122369144","https://openalex.org/W2124499489","https://openalex.org/W2125910575","https://openalex.org/W2130729668","https://openalex.org/W2133990480","https://openalex.org/W2136680862","https://openalex.org/W2140686435","https://openalex.org/W2154352269","https://openalex.org/W2160660844","https://openalex.org/W2167482691","https://openalex.org/W2169004485","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2728430307","https://openalex.org/W2107786128","https://openalex.org/W2053241453","https://openalex.org/W2153980712","https://openalex.org/W2537388533","https://openalex.org/W2978974359","https://openalex.org/W2036556872","https://openalex.org/W2021183651","https://openalex.org/W2017590198","https://openalex.org/W2353191283"],"abstract_inverted_index":{"Purpose":[0],"It":[1],"is":[2,16,27,116,134,226],"difficult":[3],"to":[4,28,49,121,136,184,196,230,246,251,261,272],"build":[5,252],"our":[6],"own":[7,254],"social":[8,14,58,186,239,270],"data":[9,12,37,73,83,142,148,188,271],"set":[10],"because":[11],"in":[13,60,118,175],"media":[15],"generally":[17],"too":[18],"vast":[19],"and":[20,31,92,145,167,237,268],"noisy.":[21],"The":[22,68,110,129],"aim":[23],"of":[24,34,97,125,141,206,222,264],"this":[25,119],"study":[26,63,157],"specify":[29],"design":[30,90],"implementation":[32,95],"details":[33,96],"the":[35,46,89,94,98,147,171,185,197,227],"Twitter":[36,99,130,144,166,177,198,223,255],"collecting":[38,82],"tool":[39,75],"with":[40,54,64,76,103,149],"a":[41,61,71,77,138,160,207,217,232],"rule\u2010based":[42,65,78],"filtering":[43,79,236,259],"module.":[44,210],"Additionally,":[45],"paper":[47,87,213,242],"aims":[48],"see":[50],"how":[51],"people":[52],"communicate":[53],"each":[55],"other":[56],"through":[57],"networks":[59],"case":[62,156],"analysis.":[66],"Design/methodology/approach":[67],"authors":[69],"developed":[70],"java\u2010based":[72],"gathering":[74],"module":[80],"for":[81,152,235],"from":[84,143],"Twitter.":[85],"This":[86,155,212,225,241],"introduces":[88],"specifications":[91],"explain":[93],"Data":[100,131,199],"Collecting":[101,132,200],"Tool":[102,133,201],"detailed":[104],"Unified":[105],"Modeling":[106],"Language":[107],"(UML)":[108],"diagrams.":[109],"Model":[111],"View":[112],"Controller":[113],"(MVC)":[114],"framework":[115],"applied":[117],"system":[120,218],"support":[122],"various":[123],"types":[124],"user":[126],"interfaces.":[127],"Findings":[128],"able":[135],"gather":[137],"huge":[139],"amount":[140],"filter":[146],"modest":[150],"rules":[151],"complex":[153],"logic.":[154],"shows":[158],"that":[159],"historical":[161],"event":[162,172],"creates":[163],"buzz":[164],"on":[165,170,215],"people's":[168],"interests":[169],"are":[173],"reflected":[174],"their":[176,253],"activity.":[178],"Research":[179],"limitations/implications":[180],"Applying":[181],"data\u2010mining":[182,209],"techniques":[183],"network":[187],"has":[189],"so":[190],"much":[191],"potential.":[192],"A":[193],"possible":[194],"improvement":[195],"would":[202],"be":[203,244],"an":[204],"adaptation":[205],"built\u2010in":[208],"Originality/value":[211],"focuses":[214],"designing":[216],"handling":[219],"massive":[220],"amounts":[221],"Data.":[224],"first":[228],"approach":[229],"embed":[231],"rule":[233],"engine":[234],"analyzing":[238],"data.":[240],"will":[243],"valuable":[245],"those":[247],"who":[248],"may":[249],"want":[250],"dataset,":[256],"apply":[257],"customized":[258],"options":[260],"get":[262],"rid":[263],"unnecessary,":[265],"noisy":[266],"data,":[267],"analyze":[269],"discover":[273],"new":[274],"knowledge.":[275]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}